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Executive Compensation Data Scraper

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Pricing

from $10.00 / 1,000 result items

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0.0

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Developer

Fortuitous Pirate

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Monthly active users

a month ago

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Executive Compensation Scraper

Scrapes executive compensation data from SEC DEF 14A proxy filings.

What it does

Takes a list of stock tickers and years
Finds DEF 14A proxy filings on SEC EDGAR
Extracts the Summary Compensation Table
Returns structured executive compensation data

Input

{
    "tickers": ["AAPL", "MSFT", "GOOGL"],
    "years": [2023, 2024]
}

Parameter	Type	Required	Description
tickers	array	Yes	Stock ticker symbols
years	array	Yes	Fiscal years to scrape

Output

Each record contains:

{
    "ticker": "AAPL",
    "company_name": "Apple Inc.",
    "cik": "0000320193",
    "fiscal_year": 2024,
    "filing_date": "2024-01-05",
    "executive_name": "Timothy D. Cook",
    "executive_title": "CEO",
    "salary": 3000000,
    "bonus": 0,
    "stock_awards": 40000000,
    "option_awards": 0,
    "non_equity_incentive": 6000000,
    "deferred_comp": 0,
    "other_comp": 1500000,
    "total_comp": 50500000,
    "source_url": "https://www.sec.gov/..."
}

Usage

# Install dependencies
npm install

# Run locally
echo '{"tickers": ["AAPL"], "years": [2024]}' > storage/key_value_stores/default/INPUT.json
apify run

# View results
cat storage/datasets/default/*.json | jq '.'

Data Source

All data comes from SEC EDGAR public filings (no proxy needed).

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